Kaikai Zhao - RankMe

29 papers B 3C 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KAConvNet: Kolmogorov-Arnold convolutional networks for vision recognition. Image Vis. Comput. Zhaoxiang Liu, Zhicheng Ma, Kaikai Zhao, Kai Wang, Shiguo Lian
2026	J	`jnl`	TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration. CoRR Yisheng Zhang, Guoli Jia, Haote Hu, Shanxu Zhao, Kaikai Zhao, Long Sun, Xinwei Long, Kai Tian, Che Jiang, Zhaoxiang Liu, Kai Wang, Shiguo Lian, Kaiyan Zhang, Bowen Zhou
2025	—	`conf`	CORTEX: A Capability-Driven Reasoning Framework for Zero-Shot Large Language Model Selection. CSAI Kaikai Zhao, Zhaoxiang Liu, Zipeng Wang, Xin Wang, Heng Yang, Ning Wang, Kai Wang, Shiguo Lian
2025	—	`conf`	Data Leakage Detection in Large Vision-Language Models via Multimodal Perturbation. ICIG (1) Xin Wang, Zhaoxiang Liu, Yue Zhan, Kaikai Zhao, Kai Wang, Shiguo Lian
2025	J	`jnl`	Emotion-Director: Bridging Affective Shortcut in Emotion-Oriented Image Generation. CoRR Guoli Jia, Junyao Hu, Xinwei Long, Kai Tian, Kai Zhang, Kaikai Zhao, Ning Ding, Bowen Zhou
2025	J	`jnl`	MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic Surveillance. CoRR Kaikai Zhao, Zhaoxiang Liu, Peng Wang, Xin Wang, Zhicheng Ma, Yajun Xu, Wenjing Zhang, Yibing Nan, Kai Wang, Shiguo Lian
2025	J	`jnl`	MITS: A large-scale multimodal benchmark dataset for Intelligent Traffic Surveillance. Image Vis. Comput. Kaikai Zhao, Zhaoxiang Liu, Peng Wang, Xin Wang, Zhicheng Ma, Yajun Xu, Wenjing Zhang, Yibing Nan, Kai Wang, Shiguo Lian
2025	—	`conf`	Quantifying Capability Boundaries: An Application-Driven Analysis for Large Language Model Selection. CSAI Kaikai Zhao, Zhaoxiang Liu, Shun Lu, Xuejiao Lei, Xin Wang, Wen Liu, Kai Wang, Shiguo Lian
2025	J	`jnl`	Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis. CoRR Kaikai Zhao, Zhaoxiang Liu, Xuejiao Lei, Ning Wang, Zhenhong Long, Jiaojiao Zhao, Zipeng Wang, Peijun Yang, Minjie Hua, Chaoyang Ma, Wen Liu, Kai Wang, Shiguo Lian
2024	J	`jnl`	A Novel Vision-Based Truck-Lifting Accident Detection Method for Truck-Lifting Prevention System in Container Terminal. IEEE Access Zhiyu Ji, Kaikai Zhao, Zhaoxiang Liu, Huan Hu, Zhongheng Sun, Shiguo Lian
2024	J	`jnl`	CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models. CoRR Wenjing Zhang, Xuejiao Lei, Zhaoxiang Liu, Meijuan An, Bikun Yang, Kaikai Zhao, Kai Wang, Shiguo Lian
2024	—	`conf`	Self-supervised Visual Anomaly Detection with Image Patch Generation and Comparison Networks. ICIC (10) Jianfeng Huang, Kaikai Zhao, Chenyang Li, Yimin Lin, Zhaoxiang Liu, Kai Wang, Shiguo Lian
2024	—	`conf`	What is the Best Model? Application-Driven Evaluation for Large Language Models. NLPCC (3) Shiguo Lian, Kaikai Zhao, Xinhui Liu, Xuejiao Lei, Bikun Yang, Wenjing Zhang, Kai Wang, Zhaoxiang Liu
2024	J	`jnl`	What is the best model? Application-driven Evaluation for Large Language Models. CoRR Shiguo Lian, Kaikai Zhao, Xinhui Liu, Xuejiao Lei, Bikun Yang, Wenjing Zhang, Kai Wang, Zhaoxiang Liu
2023	J	`jnl`	KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer. CoRR Kaikai Zhao, Norimichi Ukita
2022	J	`jnl`	A Waste Copper Granules Rating System Based on Machine Vision. CoRR Kaikai Zhao, Yajie Cui, Zhaoxiang Liu, Shiguo Lian
2022	J	`jnl`	Application-Driven AI Paradigm for Human Action Recognition. CoRR Zezhou Chen, Yajie Cui, Kaikai Zhao, Zhaoxiang Liu, Shiguo Lian
2022	J	`jnl`	MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System. Sensors Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma
2021	J	`jnl`	Efficient Hardware Accelerator for Compressed Sparse Deep Neural Network. IEICE Trans. Inf. Syst. Hao Xiao, Kaikai Zhao, Guangzhu Liu
2020	B	`conf`	From Certain to Uncertain: Toward Optimal Solution for Offline Multiple Object Tracking. ICPR Kaikai Zhao, Takashi Imaseki, Hiroshi Mouri, Einoshin Suzuki, Tetsu Matsukawa
2019	J	`jnl`	Efficient Multiple Kernel k-Means Clustering With Late Fusion. IEEE Access Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu
2019	J	`jnl`	Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks. J. Intell. Inf. Syst. Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
2018	J	`jnl`	Evaluation of quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging in qualitative diagnosis of hepatic masses. BMC Medical Imaging Jingjing Chen, Youjiao Si, Kaikai Zhao, Xianglong Shi, Weiqun Bi, Shi-en Liu, Hui Hua
2018	J	`jnl`	Large-scale k-means clustering via variance reduction. Neurocomputing Yawei Zhao, Yuewei Ming, Xinwang Liu, En Zhu, Kaikai Zhao, Jianping Yin
2018	B	`conf`	Retraining: A Simple Way to Improve the Ensemble Accuracy of Deep Neural Networks for Image Classification. ICPR Kaikai Zhao, Tetsu Matsukawa, Einoshin Suzuki
2015	C	`conf`	Clustering Classifiers Learnt from Local Datasets Based on Cosine Similarity. ISMIS Kaikai Zhao, Einoshin Suzuki
2014	J	`jnl`	ESmodels: An Epistemic Specification Solver. CoRR Zhizheng Zhang, Kaikai Zhao
2014	—	`conf`	Facial Expression Data Constructed with Kinect and Their Clustering Stability. AMT Angdy Erna, Linli Yu, Kaikai Zhao, Wei Chen, Einoshin Suzuki
2013	B	`conf`	ESmodels: An Inference Engine of Epistemic Specifications. ICTAI Zhizheng Zhang, Kaikai Zhao, Rongcun Cui